Abstract
Online signal denoising refers to a digital filtering techniques in order to estimate a signal s[n] from the noisy signal x[n] = s[n] + v[n], where v[n] is noise. Standard filtering techniques lead to a time delay of the signal estimate ŝ[n], which is caused by the group delay of the filter. Wiener filtering is one possible way to reduce this delay. The design of a Wiener filter requires a statistical model of the signal s[n] and the measurement noise v[n]. The noise model can be determined by means of signal analysis of the measurement noise v[n]. The modeling of the signal s[n] on the other hand requires more dedicated analysis. This makes the application of this filter less practicable. In this paper a design methodology for Wiener filters is presented. The modeling of the signal is done by means of the signal bandwidth, hence the design effort is equal to the design of a standard digital filter. Also the same design tools, e.g. a filter design methods, can be used. The performance of the approach is presented by means of simulation studies and a measurement example.
Original language | English |
---|---|
Title of host publication | I2MTC 2020 - International Instrumentation and Measurement Technology Conference, Proceedings |
Place of Publication | Dubrovnik |
ISBN (Electronic) | 9781728144603 |
DOIs | |
Publication status | Published - 30 Jun 2020 |
Event | 2020 IEEE International Instrumentation and Measurement Technology Conference: IEEE I2MTC 2020 - Virtuell, Dubrovnik, Croatia Duration: 25 May 2020 → 28 May 2020 https://i2mtc2020.ieee-ims.org/ |
Conference
Conference | 2020 IEEE International Instrumentation and Measurement Technology Conference |
---|---|
Abbreviated title | IEEE I2MTC 2020 |
Country/Territory | Croatia |
City | Virtuell, Dubrovnik |
Period | 25/05/20 → 28/05/20 |
Internet address |
Keywords
- Filter design
- Signal denoising
- Wiener filtering
ASJC Scopus subject areas
- Safety, Risk, Reliability and Quality
- Instrumentation